Method and device for predicting a forecast object

Abstract

The present invention provides a method and device for predicting a forecasted object, the method comprising: acquiring multiple historical data values ​​of the forecasted object within a predetermined historical period; looking for multiple influencing factors related to the forecasted object from the database, And obtain one or more data sources and predetermined algorithms corresponding to each impact factor; search the text information of each impact factor from one or more data sources, and convert the text information into multiple structured data according to the predetermined algorithm; According to multiple historical data values ​​and multiple structured data, the correlation coefficient between each impact factor and the forecast object is obtained, and part of the impact factors whose correlation coefficient meets the predetermined condition is taken out from multiple impact factors; according to multiple historical data values, it is calculated The length of the forecast period immediately after the predetermined historical period, and calculate the respective weights for some of the impact factors; according to the length of the forecast period and their respective weights, multiple forecast data values ​​of the forecast object within the forecast period are obtained.

Description

technical field [0001] The present invention relates to a method and device for forecasting general demand, in particular to a method and device for forecasting objects. Background technique [0002] With the continuous expansion of the scale of modern production and sales, how to make a reasonable production plan has become a major issue that affects the cost and profit of the enterprise. Many companies do not have an effective method to predict future market demand, or the backlog of excess products in the warehouse has brought great pressure to the capital chain, or the supply of products must not miss the effective opportunity to occupy the market. These possible results will seriously affect the operating efficiency of the enterprise and affect the long-term development of the enterprise. [0003] As an important part of the field of artificial intelligence, demand forecasting technology has been studied for many years, and many related technologies have been proposed....

AI Technical Summary

Problems solved by technology

[0004] However, most of the existing forecasting technologies face the following problems: 1. The forecasting technology is not universal enough, and most forecasting tools are designed for a specific field to select forecasting impact factors and design forecasting models

The prediction tools developed in this way are difficult to apply to other fields, and repeated development is also a waste of resources

2. Relying too much on data integrity when making forecasts

In many practical applications, customers cannot provide the data required for complete prediction, so it is impossible to train a high-precision prediction model

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